An improved differential evolution with cluster decomposition algorithm for automatic clustering
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3496-z
Abstract: This study proposes an improved differential evolution (DE) algorithm to solve an automatic clustering problem. Automatic clustering is a clustering technique in data mining which can automatically define the best number of clusters, as well… read more here.
Keywords: automatic clustering; algorithm automatic; improved differential; differential evolution ... See more keywords
PSO with surrogate models for feature selection: static and dynamic clustering-based methods
Sign Up to like & getrecommendations! Published in 2018 at "Memetic Computing"
DOI: 10.1007/s12293-018-0254-9
Abstract: Feature selection is an important but often expensive process, especially with a large number of instances. This problem can be addressed by using a small training set, i.e. a surrogate set. In this work, we… read more here.
Keywords: feature selection; clustering; selection; pso surrogate ... See more keywords
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis
Sign Up to like & getrecommendations! Published in 2020 at "Computational biology and chemistry"
DOI: 10.1016/j.compbiolchem.2020.107247
Abstract: BACKGROUND In psoriasis skin disease, psoriatic cells develop rapidly than the normal healthy cells. This speedy growth causes accumulation of dead skin cells on the skin's surface, resulting in thick patches of red, dry, and… read more here.
Keywords: detection; clustering; swarm intelligence; psoriasis ... See more keywords
Method for detecting abnormal behaviour of users based on selective clustering ensemble
Sign Up to like & getrecommendations! Published in 2018 at "IET Networks"
DOI: 10.1049/iet-net.2017.0127
Abstract: With the development of cloud computing in the mobile communications industry, the credibility between users and the cloud has become an important obstacle to the development of mobile cloud services. Therefore, the user's abnormal behaviour… read more here.
Keywords: clustering ensemble; clustered members; clustering; abnormal behaviour ... See more keywords
MOCASSIN‐prot: a multi‐objective clustering approach for protein similarity networks
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DOI: 10.1093/bioinformatics/btx755
Abstract: Motivation Proteins often include multiple conserved domains. Various evolutionary events including duplication and loss of domains, domain shuffling, as well as sequence divergence contribute to generating complexities in protein structures, and consequently, in their functions.… read more here.
Keywords: clustering; multi objective; approach; prot ... See more keywords
Optimized phylogenetic clustering of HIV-1 sequence data for public health applications
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Computational Biology"
DOI: 10.1101/2022.01.14.476062
Abstract: Clusters of genetically similar infections suggest rapid transmission and may indicate priorities for public health action or reveal underlying epidemiological processes. However, clusters often require user-defined thresholds and are sensitive to non-epidemiological factors, such as… read more here.
Keywords: health; hiv; public health; clustering ... See more keywords
Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068172
Abstract: The availability of an enormous amount of unlabeled datasets drives the anomaly detection research towards unsupervised machine learning algorithms. Deep clustering algorithms for anomaly detection gain significant research attention in this era. We propose an… read more here.
Keywords: deep clustering; anomaly detection; network traffic; clustering ... See more keywords
RecMem: Time Aware Recommender Systems Based on Memetic Evolutionary Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8714870
Abstract: Nowadays, the recommendation is an important task in the decision-making process about the selection of items especially when item space is large, diverse, and constantly updating. As a challenge in the recent systems, the preference… read more here.
Keywords: evolutionary clustering; time; memetic evolutionary; algorithm ... See more keywords
Unequal clustering in wireless sensor network: a review
Sign Up to like & getrecommendations! Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v22.i1.pp419-426
Abstract: In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is… read more here.
Keywords: wireless sensor; unequal clustering; energy; sensor network ... See more keywords
Spatial Clustering of Vaccine Exemptions on the Risk of a Measles Outbreak.
Sign Up to like & getrecommendations! Published in 2021 at "Pediatrics"
DOI: 10.1542/peds.2021-050971
Abstract: OBJECTIVES Areas of increased school-entry vaccination exemptions play a key role in epidemics of vaccine-preventable diseases in the United States. California eliminated nonmedical exemptions in 2016, which increased overall vaccine coverage but also rates of… read more here.
Keywords: clustering exemptions; spatial clustering; clustering; medical exemptions ... See more keywords
Host-Dependent Clustering of Campylobacter Strains From Small Mammals in Finland
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2020.621490
Abstract: Small mammals are known to carry Campylobacter spp.; however, little is known about the genotypes and their role in human infections. We studied intestinal content from small wild mammals collected in their natural habitats in… read more here.
Keywords: farm; clustering; campylobacter spp; small mammals ... See more keywords